Abstract
Connecting large numbers of electric vehicles to the power grid creates challenges for the operation of the power distribution network, but also provides a new method for supporting grid operation. This paper considers the trip patterns of electric vehicle users in China, including their trip starting time, traffic congestion, vehicle energy consumption, and other factors. We develop a charging–discharging operation strategy for electric vehicles in different functional areas with the goal of minimizing the cost of distribution network, which considers the distribution patterns of electric vehicles in different functional areas. As different types of cities in China have different proportions of electric vehicle users who follow different travel chains, we provide multiple examples showing the effectiveness of our proposed V2G method in different cities.
Highlights
Introduction on Different Trip Patterns forVariousTo reduce fossil fuel consumption and the emission of greenhouse gases, including carbon dioxide and other harmful gases, governments of all countries have promoted electric vehicles (EV) as a substitute for traditional fossil fuel vehicles
We develop a charging–discharging operation strategy for electric vehicles based on different trip patterns for various city types with the intention of minimizing the cost of distribution network
Because different EV users have different travel patterns, the spatiotemporal distribution of EVs differs among functional areas
Summary
To reduce fossil fuel consumption and the emission of greenhouse gases, including carbon dioxide and other harmful gases, governments of all countries have promoted electric vehicles (EV) as a substitute for traditional fossil fuel vehicles. Zhou et al [8] proposed an EV charging strategy that was based on information about user travel chains and traffic networks and considered the travel time of electric vehicles; the authors derived a model predicting the temporal and spatial distribution of EV load under this strategy. We develop a charging–discharging operation strategy for electric vehicles based on different trip patterns for various city types with the intention of minimizing the cost of distribution network. We consider the distribution network power flow and voltage constraints based on the second-order cone relaxation method, and we analyze the charging and discharging strategy of cluster EVs for different EV distribution patterns in different functional areas.
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